Deep neural network-based active user detection for grant-free NOMA systems
As a means to support the access of massive machine-type communication devices, grant-
free access and non-orthogonal multiple access (NOMA) have received great deal of …
free access and non-orthogonal multiple access (NOMA) have received great deal of …
Active user detection and channel estimation for massive machine-type communication: Deep learning approach
Recently, massive machine-type communications (mMTCs) have become one of key use
cases for 5G. In order to support massive users transmitting small data packets at low rates …
cases for 5G. In order to support massive users transmitting small data packets at low rates …
DDI: A novel architecture for joint active user detection and IoT device identification in grant-free NOMA systems for 6G and beyond networks
Nonorthogonal multiple access (NOMA) with a grant-free access has received a lot of
attention due to its support to massive machine-type communication (mMTC) devices. The …
attention due to its support to massive machine-type communication (mMTC) devices. The …
Temporal correlation and message-passing-based sparse bayesian learning channel estimation for underwater acoustic communications
J Yin, G Zhu, X Han, L Guo, L Li… - IEEE Journal of Oceanic …, 2024 - ieeexplore.ieee.org
To mitigate the error propagation of single-carrier time-domain equalization (SC-TDE) with
insufficient observation data, this article proposes a low-complexity message-passing-based …
insufficient observation data, this article proposes a low-complexity message-passing-based …
Lattice-based mmWave hybrid beamforming
Conventional hybrid precoding and combining based transceivers require a large number of
high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive …
high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive …
Accelerating Iteratively Linear Detectors in Multi-User (ELAA-) MIMO Systems with UW-SVD
Current iterative multiple-input multiple-output (MIMO) detectors suffer from slow
convergence when the wireless channel is ill-conditioned. The ill-conditioning is mainly …
convergence when the wireless channel is ill-conditioned. The ill-conditioning is mainly …
Deep learning-based blind multiple user detection for grant-free scma and musa systems
Massive machine-type communications (mMTC) in 6G requires supporting a massive
number of devices with limited resources, posing challenges in efficient random access …
number of devices with limited resources, posing challenges in efficient random access …
Leveraging user-wise SVD for accelerated convergence in iterative ELAA-MIMO detections
Numerous low-complexity iterative algorithms have been proposed to offer the performance
of linear multiple-input multiple-output (MIMO) detectors bypassing the channel matrix …
of linear multiple-input multiple-output (MIMO) detectors bypassing the channel matrix …
Hybrid precoding algorithm for millimeter-wave massive MIMO-NOMA systems
In this paper, the performance of the millimeter-wave (mmWave) massive multiple-input
multiple-output (mMIMO) non-orthogonal multiple access (NOMA) systems is investigated …
multiple-output (mMIMO) non-orthogonal multiple access (NOMA) systems is investigated …
Design of large scale MU-MIMO system with joint precoding and detection schemes for beyond 5G wireless networks
The large scale multiuser multiple input multiple output (MU-MIMO) is one of the promising
communication technology for 5G wireless networks as it offers reliability, high spectral …
communication technology for 5G wireless networks as it offers reliability, high spectral …